John R. Zech

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom John R. Zech trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Peter M. Rothwell
  2. Kaiming He
  3. Yann LeCun
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. L. Eon Bottou
  7. X. Zhang
  8. Alex Krizhevsky
  9. Jia Deng
  10. Olga Russakovsky

Who trusts John R. Zech overall

  1. Cynthia Rudin
  2. Joseph D. Janizek
  3. Heang-Ping Chan
  4. Gabriel Erion-Barner
  5. Ananya Kumar
  6. Quande Liu
  7. Mauricio Reyes
  8. Yahui Jiang
  9. Lubomir M. Hadjiiski
  10. Arvid Lundervold

Papers from John R. Zech's perspective

Ordered by how strongly the researchers John R. Zech trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers